Cutting record intake in half across a 34,000-patient academic health system.
Outside records arrived as faxes, uploads, and HIE call-backs — over 30,000 hours of manual review a year. Fourier now classifies and structures them before staff touch a page, returning 15,000+ hours annually and paying for itself in three and a half months.
30,000 hours a year just making records usable.
Every patient who arrives with outside records — transfers, referrals, second opinions — triggers the same manual ritual: someone in HIM opens the stack, works out what each page is, files it, and flags what the clinical team needs to see. At 34,000 patients a year and roughly 45 minutes per patient, record review alone consumed 25,500 hours annually. Completeness checks and chart prep for 4,000 new patients added 3,300 more.
With a 10% rework rate on top — misfiled pages, missing documents chased after the fact — the system was spending 30,733 hours, about $1.84M in fully loaded labor, every year before a single clinical decision was made.
Automation embedded where the work already happens.
Fourier deployed inside the EHR via SMART on FHIR — no new logins, no workflow change, adoption built in. Records are classified, linked, and summarized before staff open them.
Auto-classification at intake
4,000–6,000 records per hospital, per day, classified and filed automatically — no more manual sorting of faxes, uploads, and HIE call-backs.
Specialty-specific summaries
Oncology, cardiology, fertility, neurology, and more — one platform serves every service line.
Clinical-grade accuracy
Fewer than 1 in 500 clinically significant findings missed, versus roughly 1 in 20 with frontier LLMs.
Cited, audit-ready output
Every finding linked to its source page — the medico-legal defensibility a teaching hospital requires.
Half the intake effort, returned to higher-value work.
With half of intake effort auto-handled, the system gets back an average of 45 minutes per patient — 15,367 hours a year, reclassified from sorting pages to the HIM and clinical work that actually needs people.
Return on investment
Labor saved vs the annual Fourier investment, year one
Payback period
Time for labor savings to cover the Phase 1 investment
Financial figures are modeled jointly with the health system from its own patient volumes and blended labor rates, applied to Fourier's measured intake-effort reduction. Accuracy figures are measured on Fourier production output.
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